Lifeboat Foundation

While there’s no launch date yet, the People’s Bank of China is likely to be the first major central bank to issue a digital version of its currency, the yuan, seeking to keep up with — and control of — a rapidly digitizing economy. Trials have been held this year in a handful of cities and tests have started with some e-wallets and online apps, with the Covid-19 pandemic and need for social distancing providing a new sense of urgency. Unlike cryptocurrencies such as Bitcoin, dealing in the digital yuan won’t have any presumption of anonymity, and its value will be as stable as the physical yuan, which will be sticking around too. Behind China’s rush is a desire to manage technological change on its own terms. As one PBOC official put it, currency isn’t only an economic issue, it’s also about sovereignty.

Not all the details are out, but according to new patents registered by the PBOC and official speeches, it could work something like this: Consumers and businesses would download a digital wallet onto their mobile phone and fill it with money from their account at a commercial bank — similar to going to an ATM. They then use that money — dubbed Digital Currency Electronic Payment, or DCEP — like cash to make and receive payments directly with anyone else who also has a digital wallet. Some questions remain, including the impact on Big Tech companies such as Ant Group Co. and Tencent Holdings Ltd. that already offer payment services.

Air pollution involving very fine dust, such as PM2.5 particles, poses a serious threat to human health. Scientists in Austria have developed what they call the smallest particle sensor in the world, designed specifically to detect these harmful pollutants and offer a highly localized picture of air quality by being integrated into wearables and mobile devices.

According to the World Health Organization, air pollution contributes to more than four million premature deaths each year. While PM10 particles with a diameter of 10 microns or less can also make their way into their lungs, the finer PM2.5 particles are even more dangerous, as they can penetrate the lung barrier, slip into the blood stream and, through chronic exposure, cause severe forms of cardiovascular and respiratory disease, along with other health problems.

Concentrations of PM2.5 particles can be gauged through monitoring stations positioned around cities and regions, in fact the US Environmental Protection Agency uses a nationwide network of these stations to track air quality trends. But scientists from Austria’s Graz University of Technology (TU Graz) have been working on a more cost-effective, compact and versatile solution that can alert individual users of dangerous conditions in real time.

In recent years, researchers have been developing machine learning algorithms for an increasingly wide range of purposes. This includes algorithms that can be applied in healthcare settings, for instance helping clinicians to diagnose specific diseases or neuropsychiatric disorders or monitor the health of patients over time.

Researchers at Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital have recently carried out a study investigating the possibility of using deep reinforcement learning to control the levels of unconsciousness of patients who require anesthesia for a medical procedure. Their paper, set to be published in the proceedings of the 2020 International Conference on Artificial Intelligence in Medicine, was voted the best paper presented at the conference.

“Our lab has made significant progress in understanding how anesthetic medications affect neural activity and now has a multidisciplinary team studying how to accurately determine anesthetic doses from neural recordings,” Gabriel Schamberg, one of the researchers who carried out the study, told TechXplore. “In our recent study, we trained a neural network using the cross-entropy method, by repeatedly letting it run on simulated patients and encouraging actions that led to good outcomes.”

ESA Astronaut Pesquet revealed Crew-2 has been actively training for “Mission Alpha” aboard Crew Dragon. He shared photographs via Twitter of him training on SpaceX’s Crew Dragon simulator which involves learning how to control the spacecraft’s functions via a trio of touchscreen displays. – “Here’s the posse together, training on @SpaceX crew dragon. @Aki_Hoshide looking like a boss, and all of us wishing we had as cool socks as our awesome pilot @Astro_Megan. #MissionAlpha,” he wrote. During training, all astronauts are wearing face masks to protect each other from the coronavirus respiratory illness, pictured below.

Here’s the posse together, training on @SpaceX crew dragon. @Aki_Hoshide looking like a boss, and all of us wishing we had as cool socks as our awesome pilot @Astro_Megan. #MissionAlpha pic.twitter.com/UCDJvTcRgp— Thomas Pesquet (@Thom_astro) September 23, 2020

To familiarize with the spacecraft, the astronauts train with an interactive simulator and touchscreen interface that is a replica of Dragon’s cockpit. Earlier this year, SpaceX released an online game that allows players to try to dock the Crew Dragon spacecraft to the Space Station, using similar controls the astronauts will use during their voyage in space. You can play the online game on SpaceX’s website: Crew Dragon Simulator.

Researchers took a silica nanoparticle designated as ‘Generally Recognized As Safe’ by the US Food and Drug Administration and coated it with L-phenylalanine, and found that in lab tests with mice it killed cancer cells effectively and very specifically, by causing them to self-destruct.

Cancer cells are killed in lab experiments and tumor growth reduced in mice, using a new approach that turns a nanoparticle into a ‘Trojan horse’ that causes cancer cells to self-destruct, a research team at the Nanyang Technological University, Singapore (NTU Singapore) has found.

The researchers created their ‘Trojan horse’ nanoparticle by coating it with a specific amino acid — L-phenylalanine — that cancer cells rely on, along with other similar amino acids, to survive and grow. L-phenylalanine is known as an ‘essential’ amino acid as it cannot be made by the body and must be absorbed from food, typically from meat and dairy products.

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Very interesting!

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“The plan was to scan patients’ genomes—in particular, a set of 13 genes involved in interferon immunity against influenza. In healthy people, interferon molecules act as the body’s security system. They detect invading viruses and bacteria and sound the alarm, which brings other immune defenders to the scene.

Continue reading “Some severe COVID-19 cases linked to genetic mutations or antibodies that attack the body” »

Mitochondria are the powerhouses of our cells, generating energy that supports life. A giant molecular proton pump, called complex I, is crucial: It sets in motion a chain of reactions, creating a proton gradient that powers the generation of ATP, the cell’s fuel. Despite complex I’s central role, the mechanism by which it transports protons across the membrane has so far been unknown. Now, Leonid Sazanov and his group at the Institute of Science and Technology Austria (IST Austria) have solved the mystery of how complex I works: Conformational changes in the protein combined with electrostatic waves move protons into the mitochondrial matrix. This is the result of a study published today in Science.

Complex I is the first enzyme in the respiratory chain, a series of protein complexes in the inner mitochondrial membrane. The respiratory chain is responsible for most of the cell’s energy production. In this chain, three membrane proteins set up a gradient of protons, moving them from the cell’s cytoplasm into the mitochondrial inner space, called the matrix. The energy for this process comes mostly from the electron transfer between NADH molecules, derived from the food we eat, and oxygen that we breathe. ATP synthase, the last protein in the chain, then uses this proton gradient to generate ATP.

Complex I is remarkable not only because of its central role in life, but also for its sheer size: with a molecular weight of 1 Megadalton, the eukaryotic complex I is one of the biggest membrane proteins. Its size also makes complex I hard to study. In 2016, Sazanov and his group were the first to solve the structure of mammalian complex I, following on their 2013 structure of a simpler bacterial enzyme. But the mechanism by which complex I moves protons across the membrane has remained controversial. “One idea was that a part of complex I works like a piston, to open and close channels through which protons travel”, explains Sazanov. “Another idea was that residues at the center of complex I act as a driver. It turns out that an even more unusual mechanism is at work.”

As earth becomes less habitable due to the climate emergency, The Astroland Agency are working out how humans could colonize Mars by 2035. Before the pandemic, we spent time with them to learn how that would work.

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Health experts worry about testing shortages and crowded hospitals as flu season approaches in the midst of the coronavirus pandemic.